|Year : 2020 | Volume
| Issue : 1 | Page : 32-37
A comparison of cardiopulmonary resuscitation with standard manual compressions versus compressions with real-time audiovisual feedback: A randomized controlled pilot study
Amir Vahedian-Azimi1, Farshid Rahimibashar2, Andrew C Miller3
1 Trauma Research Center, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran
2 Department of Anesthesia and Critical Care, Hamadan University of Medical Sciences, Hamadan, Iran
3 Department of Emergency Medicine, East Carolina University Brody School of Medicine, Greenville, NC, USA
|Date of Submission||09-Oct-2019|
|Date of Acceptance||02-Jan-2020|
|Date of Web Publication||9-Mar-2020|
Dr. Andrew C Miller
Department of Emergency Medicine, East Carolina University Brody School of Medicine, 600 Moye Blvd., Mailstop 625, Greenville, NC 27834
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Strategies that improve cardiopulmonary resuscitation (CPR) guideline adherence may improve in-hospital cardiac arrest (IHCA) outcomes. Real-time audiovisual feedback (AVF) is one strategy identified by the American Heart Association and the International Liaison Committee on Resuscitation as an area needing further investigation. The aim of this study was to determine if in patients with IHCA, does the addition of a free-standing AVF device to standard manual chest compressions during CPR improve sustained return of spontaneous circulation (ROSC) rates (primary outcome) or CPR quality or guideline adherence (secondary outcomes).
Methods: This was a prospective, randomized, controlled, parallel study of patients undergoing resuscitation with chest compressions for IHCA in the mixed medical-surgical intensive care units (ICUs) of two academic teaching hospitals. Patients were randomized to receive either standard manual chest compressions or compressions using the Cardio First Angel™ feedback device.
Results: Sixty-seven individuals were randomized, and 22 were included. CPR quality evaluation and guideline adherence scores were improved in the intervention group (P = 0.0005 for both). The incidence of ROSC was similar between groups (P = 0.64), as was survival to ICU discharge (P = 0.088) and survival to hospital discharge (P = 0.095).
Conclusion: The use of the Cardio First Angel™ compression feedback device improved adherence to publish CPR guidelines and CPR quality. The insignificant change in rates of ROSC and survival to ICU or hospital discharge may have been related to small sample size. Further clinical studies comparing AVF devices to standard manual compressions are needed, as are device head-to-head comparisons.
Keywords: Cardiopulmonary resuscitation, chest compression, in-hospital cardiac arrest, medical device
|How to cite this article:|
Vahedian-Azimi A, Rahimibashar F, Miller AC. A comparison of cardiopulmonary resuscitation with standard manual compressions versus compressions with real-time audiovisual feedback: A randomized controlled pilot study. Int J Crit Illn Inj Sci 2020;10:32-7
|How to cite this URL:|
Vahedian-Azimi A, Rahimibashar F, Miller AC. A comparison of cardiopulmonary resuscitation with standard manual compressions versus compressions with real-time audiovisual feedback: A randomized controlled pilot study. Int J Crit Illn Inj Sci [serial online] 2020 [cited 2021 Sep 17];10:32-7. Available from: https://www.ijciis.org/text.asp?2020/10/1/32/280233
| Introduction|| |
In-hospital cardiac arrest (IHCA) is common and carries high patient morbidity and mortality. Data from the American Heart Association's (AHA) Get with the Guidelines-Resuscitation Registry indicates an annual incidence of 292,000 cases per year in the U. S., or roughly 1 per 100 admissions. IHCA outcomes vary significantly worldwide, with the return of spontaneous circulation (ROSC) rates reported to range from 20% to 73%.
Cardiopulmonary resuscitation (CPR) with effective chest compression remains the cornerstone of acute management, and international guidelines emphasize the importance of compression position, rate, force, depth, interruptions, recoil, no-flow time, flow fraction, and avoiding excessive ventilation.,,,,, Even so, evidence suggests that compressions administered by medical practitioners in real time may be suboptimal., The AHAand the International Liaison Committee on Resuscitation (ILCOR) have made cautious recommendations supporting real-time audiovisual feedback (AVF) use to aid educational and clinical resuscitation efforts by improving compression quality.,,
AVF devices may be free-standing or linked to automated external defibrillators (AED) or other monitoring equipment. Free-standing devices are generally applied between the victim's chest and the rescuer's hands. The reliant technology ranges in complexity from a metronome to tensile springs, accelerometers, pressure sensors, and triaxial magnetic sensing.,,, The feedback may be given (singular or in combination) in audio, visual, or tactile format.
Despite an abundance of products released to market, only two devices (Ambu CardioPump, CardioFirst Angel™) have published randomized controlled trials for IHCA.,, The objective of this pilot feasibility RCT was to determine if in patients with IHCA (population), does the addition of a free-standing AVF device to standard manual chest compressions during CPR improve outcomes including sustained ROSC (primary outcome) or CPR quality or guideline adherence (secondary outcomes).
| Methods|| |
Study design and settings
This was a prospective, randomized, controlled, parallel study of patients undergoing resuscitation with chest compressions for IHCA in the mixed medical-surgical Intensive care units (ICUs) of two academic teaching hospitals in Tehran, Iran, from December 1, 2013, to March 1, 2014. The protocol was approved by the Investigational Review Board at Baqiyatallah University of Medical Sciences (IR. BMSU. REC.1394.419). Informed consent was required and covered both study participation and consent to publish the findings. Consent by the patient's surrogate or designated health-care proxy was permitted in cases where the patient did not have decision-making capacity. The crossover was not allowed. Patients were blinded to the randomization group. The health-care provider was not blind during the resuscitation, as it was considered unethical to employ a sham device. The data analyzer was blinded to group randomization and was not present during resuscitation.
Block randomization (groups of 4) was performed using a random number list generated by Random Allocation Software © (RAS; Informer Technologies, Inc., Madrid, Spain). The allocation, consignment, and blinding methodology is described elsewhere. Enrollment and randomization occurred in the emergency department (ED) from available admitted ICU patients on a convenience basis. Patients consented to enrollment in a study on cardiac arrest treatment should that event occur during the ICU stay; otherwise, the treatment was according to usual care. There were no important changes to methods after trial commencement. The study ended because it achieved the necessary sample size.
Inclusion criteria were as follows: (1) age ≥18 years, (2) admitted to the ICU from the ED, (3) resuscitation status full-code, and (4) willing and able to provide written informed consent by the patient, legal guardian, or health-care surrogate prior to cardiac arrest event. Exclusion criteria were as follows: (1) pregnant or (2) any code status other than full code, and (3) any out-of-hospital cardiac arrest or ED cardiac arrest prior to enrollment. Patients were excluded from the final analysis for (1) revoked consent or (2) lost or incomplete data due to logistical impediment to data collection. Decisions to cease resuscitation efforts were made in accordance with the AHA and European Resuscitation Society Guidelines and included (1) asystole for >20 min in the absence of a reversible cause (e.g., hypothermia at time of arrest, cardiac tamponade, tension pneumothorax, distributive shock from anaphylaxis, and chemical intoxication/overdose [e.g., opiate]), (2) >30 min of resuscitation with no occurrence of ventricular fibrillation (VF) or ventricular tachycardia (VT) at any point (initial or subsequent rhythm), (3) injury not compatible with life, (4) severity of comorbidities, and (5) normothermia., For those patients in persistent pulseless VF or VT not responsive to CPR, defibrillation, and medications, the determination to cease resuscitation efforts was made by the resuscitation team leader based on clinical parameters including time to CPR initiation, CPR duration, comorbid disease, and pre-arrest state.
Prior to the study deployment, all ICU nurses at approved study sites received standardized CPR training in accordance with published guidelines in addition to formal training with the CFA device. All arrests were classified as witnessed and monitored as they occurred in the ICU. Resuscitation teams were comprised of an intensivist, three to five ICU nurses, and a respiratory therapist. Resuscitation was in accordance with standard guidelines, including chest compressions performed by experienced ICU nurses, defibrillation (when indicated), indicated medications (including epinephrine, vasopressin, atropine, amiodarone, sodium bicarbonate, calcium chloride, and magnesium sulfate), and ventilation with or without endotracheal intubation. During resuscitation, patients in the control group received CPR with standard manual chest compressions, while patients in the intervention group received compressions with the aid of an AVF: CardioFirst Angel™ (CFA; Inotech Gruppe, Neuberg, Germany), as we have described elsewhere. The measurement of invasive hemodynamics was outside the scope of this study.
Utstein variables were published after data collection; however, all available Utstein variables are reported. The primary outcome was sustained ROSC (>30 min). The secondary outcomes were CPR quality and guideline adherence. Recorded data included age, sex, invasive mechanical ventilation status on code onset, ICU length-of-stay, diagnoses, initial cardiac rhythm, defibrillation, and administered drugs. Data for invasive arterial monitoring and waveform capnography were not routinely available for patients and were not reported. Time of resuscitation occurrence (morning, mid-day, evening, and night), and nurse's level (years) of critical care nursing experience was recorded.
CPR effectiveness and guideline adherence were both evaluated using by checklists with an assigned score ranging from 0 (lowest) to 10 (highest). Derivation and validation of the assessment tools have been described elsewhere., Those items assessing for CPR effectiveness included patient position, CPR event frequency, presence of a working intravenous catheter, use of a CPR-board (or deflation of air mattress), environmental management, CPR duration, and ROSC. Items assessed for CPR guideline adherence included timeliness of compression initiation, effective team coordination and observation of pre-assigned roles, compression rate, compression depth, rescuer position, airway management, medication administration, and appropriate use of defibrillation and pacing. The tool was developed by AVA and validated using a three-round Delphi technique by a 19-person panel including anesthesiologists (n = 3), cardiologists (n = 5), intensivists (n = 2), internists (n = 4), and ICU nurses (n = 5). Both checklists were validated based on content validity ratio = 0.54 and content validity index = 0.89 as previously reported. The scoring tools were administered by the principal investigator and two ICU nurses not involved in the project. Inter-rater reliability yielded a Kendall agreement coefficient score of 0.91.
Sample size and data analysis
All analyses were performed using SPSS 22.0 (SPSS Inc., Chicago, IL, USA). Frequency (percent; %) and mean (standard deviation) are presented for qualitative and quantitative variables. The normality of study variables was assessed through One-Sample Kolmogorov–Smirnov Test. Median (Quartile1 to Quartile 3) was presented as summary statistic for non-normative variables including CPR duration, nurse satisfaction with CPR quality, CPR evaluation, and observation of CPR guidelines. The frequency was presented as summary statistic for ROSC. Non-Gaussian variables were compared through Mann–Whitney U, Chi-square, and Fisher's exact test as appropriate. Demographic variables were compared using t-test, Chi-Square, or Fisher's exact test as appropriate. Statistical significance was defined as P < 0.05.
The sample size was based on ROSC data from a pilot cohort of patients not included in the study. The analysis was performed using STATA® 14 (StataCorp LLC, College Station, TX, USA). Assuming an alpha of 0.05 and a power of 0.9, the necessary sample size per group was 9. Accounting for anticipated 10% attrition, the final sample size needed was 11 per group.
| Results|| |
Of 67 consecutive eligible patients for study enrollment, 45 were excluded, and 22 were included [Figure 1]. The patient demographics were similar between groups [Table 1]. The percentage of female patients was similar between groups (P = 0.67) as was patient age (P = 0.32). Admission diagnoses were similar between groups and included (CFA vs. Control): trauma (2 vs. 1; P = 1.0), Neuro (5 vs. 4, P = 1.0), renal (0 vs. 0), cancer (0 vs. 1, P = 1.0), respiratory (2 vs. 1; P = 1.0), and abdominal infection (2 vs. 4; P = 0.63). All cases of cardiac arrest occurred in the ICU. Identified initial rhythms compared between intervention and control groups included asystole (9% vs. 9%; P = NS), VT (36% vs. 55%; P = 0.67), VF (9% vs. 18%; P = 1.0), and pulseless electrical activity (PEA)/brady-arrhythmia (45% vs. 18%; P = 0.36).
|Table 1: Summary statistics and the results of the tests for comparing groups for demographic variables|
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The use of resuscitation therapies was similar between groups [Table 2], including total electricity dose (P = NS), and dose of epinephrine, vasopressin, atropine, amiodarone, calcium gluconate, lidocaine, or sodium bicarbonate [Table 2].
CPR guideline adherence and quality were both improved in the intervention group [P = 0.0005; [Table 3]. No significant difference in CPR duration was observed between groups [P = 0.29; [Table 3]. The incidence of ROSC was similar between groups [P = 0.64; [Table 3], as was survival to ICU discharge (P = 0.088) and survival to hospital discharge [P = 0.095].
|Table 3: Summary statistics and the results of the tests for comparing the groups for four study variables|
Click here to view
| Discussion|| |
A large gap exists between current knowledge of CPR quality and its optimal implementation, contributing to preventable deaths attributable to cardiac arrest. Early defibrillation (when appropriate) and initiation of CPR with quality chest compressions are keys to survival. Strategies that improve guideline adherence may improve IHCA outcomes. The real-time AVF is one strategy identified by the AHA and the ILCOR as an area needing further investigation.,,,, In the 2015 International Consensus on CPR and Emergency Cardiovascular Care Science with Treatment Recommendations, AVF use was recommended (weak recommendation and low-quality evidence) to provide directive feedback on compression rate, depth, release, and hand position during training. In addition, tonal guidance during training is recommended (weak recommendation and low-quality evidence) to improve the compression rate. However, clinical data were lacking at the time of these recommendations.
In this pilot study, we did not observe an improvement in sustained ROSC. This may be due to the small sample size as our subsequent larger validation RCTs did show improvements in sustained ROSC and survival to hospital discharge,, as did a prior RCT by Cohen et al. Conversely, CPR guideline adherence and quality were both improved in the intervention group, finding upheld in our follow-up study. No other published studies were identified that compared overall CPR guideline adherence or compression quality in health-care providers with AVF compared to standard compressions. However, several medical simulation studies of healthcare providers have reported on components of quality compressions with AVF use. Improvements in compression rate,,,,,, depth,,,,,, and fewer ineffective compressions have been noted.,,, The results on AVF on allowing for full chest recoil have been mixed,,, and no-flow time has not been reported to improve.
As the medical community appraises the free-standing AVF devices, there are some important points to consider. At least 15 non-AED AVF devices have been released to market, but only 2 have published human RCTs for IHCA: Ambu CardioPump (Ambu Inc., Columbia, MD, USA) and CardioFirst Angel™ (Inotech Gruppe, Neuberg, Germany).,, Moreover, many do not even have published simulation studies. In addition, they are not all created equal; the reliant technology and feedback method may vary significantly. Both the Ambu CardioPump and the CFA utilize tensile springs, whereas the most readily available commercial products utilize accelerometers or pressure sensors including: Beaty, CPR-1100 CPR Assist, CPRCard™, CPREzy™, CPR-plus™, CPRmeter 2™, LinkCPR™, and Pocket CPR™. In addition, some devices in the literature are no longer manufactured: CPR-plus™, CPR PRO®, and CPRmeter™. Further investigations are needed before routine implementation of compression AVF devices is adopted into clinical practice. We encourage investigators to consider that whereas further clinical trials are needed, head-to-head comparisons are needed as well.
A significant limitation of compression feedback device studies is the inability to blind the clinical providers. Blinding the subject, the investigator, and the data analysts is easy and was were done in this case. Sham device use was deemed to be unethical. One criticism of the compression feedback devices is that they do not account for complex changes that occur during CPR. Like other AVF feedback devices, the CFA neither accounts for changes in chest wall compliance and elasticity nor the compressibility of the surface the patient is lying on (e.g. mattress).
This study did not enroll patients with primary cardiac conditions; such patients were admitted to the cardiac ICU. This study was not designed to follow neurologic outcomes as such data regarding the functional outcome are not available. Moreover, for invasive arterial monitoring and waveform capnography were not routinely available at the time of the study and are not reported. In addition, this study was not powered to detect a difference in survival to ICU or hospital discharge.
| Conclusion|| |
The use of the CardioFirst Angel™ compression feedback device improved adherence to published CPR guidelines and CPR quality. The insignificant change in rates of ROSC and survival to ICU or hospital discharge may have been related to small sample size. Further clinical studies comparing AVF devices to standard manual compressions are needed, as are device head-to-head comparisons.
Research quality and ethics statement
The authors of this manuscript declare that this scientific work complies with reporting quality, formatting, and reproducibility guidelines set forth by the EQUATOR Network. The protocol was approved by the Investigational Review Board at Baqiyatallah University of Medical Sciences (IR. BMSU. REC.1394.419). The trial was not registered in a trial registry as it was performed before trial registration was standard practice in Iran. The subsequent validation studies were both registered in Clinicaltrials.gov (NCT02394977; NCT02845011).
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Andersen LW, Holmberg MJ, Berg KM, Donnino MW, Granfeldt A. In-hospital cardiac arrest: A review. JAMA 2019;321:1200-10.
Goharani R, Vahedian-Azimi A, Farzanegan B, Bashar FR, Hajiesmaeili M, Shojaei S, et al
. Real-time compression feedback for patients with in-hospital cardiac arrest: A multi-center randomized controlled clinical trial. J Intensive Care 2019;7:5.
Christenson J, Andrusiek D, Everson-Stewart S, Kudenchuk P, Hostler D, Powell J, et al
. Chest compression fraction determines survival in patients with out-of-hospital ventricular fibrillation. Circulation 2009;120:1241-7.
Idris AH, Guffey D, Aufderheide TP, Brown S, Morrison LJ, Nichols P, et al
. Relationship between chest compression rates and outcomes from cardiac arrest. Circulation 2012;125:3004-12.
Bhanji F, Finn JC, Lockey A, Monsieurs K, Frengley R, Iwami T, et al
. Part 8: Education, implementation, and teams: 2015 International consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations. Circulation 2015;132:S242-68.
Hazinski MF, Nolan JP, Aickin R, Bhanji F, Billi JE, Callaway CW, et al
. Part 1: Executive summary: 2015 international consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations. Circulation 2015;132:S2-39.
Soar J, Mancini ME, Bhanji F, Billi JE, Dennett J, Finn J, et al
. Part 12: Education, implementation, and teams: 2010 International consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations. Resuscitation 2010;81 Suppl 1:e288-330.
Koster RW, Baubin MA, Bossaert LL, Caballero A, Cassan P, Castrén M, et al
. European Resuscitation Council Guidelines for Resuscitation 2010 Section 2. Adult basic life support and use of automated external defibrillators. Resuscitation 2010;81:1277-92.
Abella BS, Alvarado JP, Myklebust H, Edelson DP, Barry A, O'Hearn N, et al
. Quality of cardiopulmonary resuscitation during in-hospital cardiac arrest. JAMA 2005;293:305-10.
Stiell IG, Brown SP, Christenson J, Cheskes S, Nichol G, Powell J, et al
. What is the role of chest compression depth during out-of-hospital cardiac arrest resuscitation? Crit Care Med 2012;40:1192-8.
Morrison LJ, Neumar RW, Zimmerman JL, Link MS, Newby LK, McMullan PW Jr., et al
. Strategies for improving survival after in-hospital cardiac arrest in the United States: 2013 consensus recommendations: A consensus statement from the American Heart Association. Circulation 2013;127:1538-63.
Davis TL, Hoffman A, Vahedian-Azimi A, Brewer KL, Miller AC. A comparison of commercially available compression feedback devices in novice and experienced healthcare practitioners: A prospective randomized simulation study. Med Devices Sens 2018;1:e10020.
Vahedian-Azimi A, Hajiesmaeili M, Amirsavadkouhi A, Jamaati H, Izadi M, Madani SJ, et al
. Effect of the cardio first AngelTM device on CPR indices: A randomized controlled clinical trial. Crit Care 2016;20:147.
Cohen TJ, Goldner BG, Maccaro PC, Ardito AP, Trazzera S, Cohen MB, et al
. A comparison of active compression-decompression cardiopulmonary resuscitation with standard cardiopulmonary resuscitation for cardiac arrests occurring in the hospital. N
Engl J Med 1993;329:1918-21.
Baskett PJ, Steen PA, Bossaert L; European Resuscitation Council. European Resuscitation Council guidelines for resuscitation 2005. Section 8. The ethics of resuscitation and end-of-life decisions. Resuscitation 2005;67 Suppl 1:S171-80.
Morrison LJ, Kierzek G, Diekema DS, Sayre MR, Silvers SM, Idris AH, et al
. Part 3: Ethics: 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2010;122:S665-75.
Koster RW, Sayre MR, Botha M, Cave DM, Cudnik MT, Handley AJ, et al
. Part 5: Adult basic life support: 2010 International consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations. Resuscitation 2010;81 Suppl 1:e48-70.
Perkins GD, Jacobs IG, Nadkarni VM, Berg RA, Bhanji F, Biarent D, et al
. Cardiac arrest and cardiopulmonary resuscitation outcome reports: Update of the utstein resuscitation registry templates for out-of-hospital cardiac arrest: A statement for healthcare professionals from a task force of the ILCOR (American Heart Association, European Resuscitation Council, Australian and New Zealand Council on Resuscitation, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Council of Southern Africa, Resuscitation Council of Asia); and the American Heart Association Emergency Cardiovascular Care Committee and the Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation. Circulation 2015;132:1286-300.
Meaney PA, Bobrow BJ, Mancini ME, Christenson J, de Caen AR, Bhanji F, et al
. Cardiopulmonary resuscitation quality: [corrected] improving cardiac resuscitation outcomes both inside and outside the hospital: A consensus statement from the American Heart Association. Circulation 2013;128:417-35.
Edelson DP, Litzinger B, Arora V, Walsh D, Kim S, Lauderdale DS, et al
. Improving in-hospital cardiac arrest process and outcomes with performance debriefing. Arch Intern Med 2008;168:1063-9.
Couper K, Kimani PK, Abella BS, Chilwan M, Cooke MW, Davies RP, et al
. The System-wide effect of real-time audiovisual feedback and postevent debriefing for in-hospital cardiac arrest: The cardiopulmonary resuscitation quality improvement initiative. Crit Care Med 2015;43:2321-31.
Veiser T. Investigation of a Visual Feedback System to Improve the Cardiac Massage of Professional Assistants on the Exercise Model. German: Octoral Thesis, Faculty of Medicine, Rheinisch-Westfälische Technische Hochschule Aachen; 2010. Available from: https://d-nb.info/1009103776/34
. [Last accessed on 2019 Apr 16].
Buléon C, Delaunay J, Parienti JJ, Halbout L, Arrot X, Gérard JL, et al
. Impact of a feedback device on chest compression quality during extended manikin CPR: A randomized crossover study. Am J Emerg Med 2016;34:1754-60.
Yuksen C, Prachanukool T, Aramvanitch K, Thongwichit N, Sawanyawisuth K, Sittichanbuncha Y. Is a mechanical-assist device better than manual chest compression? A randomized controlled trial. Open Access Emerg Med 2017;9:63-7.
Pozner CN, Almozlino A, Elmer J, Poole S, McNamara D, Barash D. Cardiopulmonary resuscitation feedback improves the quality of chest compression provided by hospital health care professionals. Am J Emerg Med 2011;29:618-25.
Al-Jeabory M, Wieczorek W, Kaminska H, Nadolny K, Ladny JR, Szarpak L. Influence of CPR feedback device on chest compression quality. Pilot study. Anestezjol Ratow 2017;11:363-7.
Majer J, Madziala A, Dabrowska A, Dabrowski M. The place of TrueCPR feedback device in cardiopulmonary resuscitation. Should we use it? A randomized pilot study. Disaster Emerg Med J 2018;3:131-6.
Calvo-Buey JA, Calvo-Marcos D, Marcos-Camina RM. Randomised study of the relationship between the use of CPRmeter®
device and the quality of chest compressions in a simulated cardiopulmonary resuscitation. Enferm Intensiva 2016;27:13-21.
Kurowski A, Szarpak Ł, Bogdański Ł, Zaśko P, Czyżewski Ł. Comparison of the effectiveness of cardiopulmonary resuscitation with standard manual chest compressions and the use of TrueCPR and PocketCPR feedback devices. Kardiol Pol 2015;73:924-30.
Noordergraaf GJ, Drinkwaard BW, van Berkom PF, van Hemert HP, Venema A, Scheffer GJ, et al
. The quality of chest compressions by trained personnel: The effect of feedback, via the CPREzy, in a randomized controlled trial using a manikin model. Resuscitation 2006;69:241-52.
Grassl K, Leidel BA, Stegmaier J, Bogner V, Huppertz T, Kanz KG. Cardiac massage in the context of the amateur resuscitation. Notf Rett med 2009;12:117-22.
[Table 1], [Table 2], [Table 3]
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